B2B Product Marketing Is Data Work: A Guide For Manufacturers With Complex Catalogs

Key Takeaways

• B2B buyers spend most of their purchase time without your sales team. Gartner puts meetings with all potential suppliers at 17% of that time, so product data does a large share of the selling.
• In catalogs with many variants, product marketing is mostly data work: attribute models, variant logic, classification standards, and channel-specific exports.
• Tie launch dates to completeness gates. A product reaches a channel only when the data that channel requires is complete.
• Distributors, marketplaces, procurement systems and AI assistants copy your data into their own formats. Structured attributes survive the trip. Marketing copy and PDFs often arrive damaged or not at all.
• A PIM system is the usual backbone for this work. Akeneo, AtroPIM, Inriver, and Pimcore differ most in licensing, variant modeling, classification support, and the amount of developer work they need.
• Start with one product family and one demanding channel. A whole-catalog rollout is the slowest way to learn what your data model gets wrong.

What B2B Product Marketing Means When The Product Is A Data Set

Product marketing in B2B covers positioning, launches, pricing input, sales enablement, and channel content. At a software company, most of that is messaging. At a company that makes pressure sensors or cable glands, most of it is product content: specifications, variant tables, data sheets, certificates, CAD files, installation manuals, accessories and spare parts.

A cable gland sold in 5 thread sizes, 3 materials, 4 colors and 2 seal types adds up to 120 sellable articles. Each one has its own article number, EAN, dimensions, weight, and approvals. Marketing tells one story about the series. Buyers order one exact article.

So for complex catalogs, B2B product marketing means deciding which attributes describe a product, how variants relate, which channel gets which subset of the data, and who keeps it all correct over a product life that often outlasts several website relaunches. Copywriting still matters. It sits on top of the data structure, and the structure decides whether the copy ever reaches a buyer.

Why B2B Product Marketing Differs From B2C

Several People Decide, And Few Of Them Call You

Gartner research on B2B buying puts the typical buying group for a complex purchase at 6 to 10 decision makers. Buyers spend 17% of their purchase time meeting potential suppliers. When they compare several suppliers, a single sales rep may get 5% or 6% of that time. More than three-quarters of surveyed buyers described their latest purchase as very complex or difficult.

Each member of the buying group reads a different part of your product record. The design engineer checks tolerances and materials. Purchasing checks lead times and packaging units. Quality wants certificates, and the installer wants mounting dimensions. A consumer product page persuades one person. A B2B product record has to satisfy four or five people who may never speak to you.

Self-service keeps growing. In a Gartner survey of 646 B2B buyers, 67% said they prefer a rep-free experience and 45% had used AI during a recent purchase. Gartner advises sellers to structure content into modular, agent-ready building blocks. Manufacturers already own the smallest useful block: an attribute with a value and a unit.

Gartner found that buyers who rated supplier information as helpful were 2.8 times more likely to report an easy purchase, and three times as likely to close a larger deal they didn't regret.

Buyers Filter By Specification

Consumers browse images and reviews. B2B buyers filter: M20x1.5 thread, IP68, stainless steel, operating temperature down to minus 40 °C. A product with a missing attribute drops out of the filtered list, and no headline brings it back.

Consistency matters as much as completeness. "IP68" and "IP 68" are two different values to a filter, and only one of them matches the buyer's click. So the job of product copy shifts. Descriptions explain applications and benefits. Facts that buyers filter by go into typed attributes with controlled values and fixed units.

You Market Through Other People's Systems

Manufacturers sell through wholesalers, distributors, e-procurement catalogs and marketplaces. Each partner imports your data into its own system, and many require an industry format. In electrical, HVAC, plumbing, and building products, that format is usually ETIM. The ETIM classification model describes technical products by product groups, classes, features, values and units, and it is available in seventeen languages. Industrial supply chains often use ECLASS, an ISO/IEC-compliant standard with a new release every year. Catalog files often travel as BMEcat, an XML format for electronic product catalogs.

Marketing controls the source data and very little of the final presentation. The distributor's shop shows whatever the import file contained. Your own product page is the first copy of your product data, and most of the other copies live in systems you will never log into.

The Product Outlives The Campaign

Industrial products stay in catalogs for years. Then they get successors and live on as spare parts. B2B product marketing includes keeping predecessor and successor links, compatibility lists, spare part assignments, and cross-reference tables current. Those relations keep selling replacement parts long after the launch campaign is archived.

Compliance content adds weight: declarations of conformity, safety data sheets, material declarations and test reports. In the EU, the Digital Product Passport makes part of this data mandatory and machine-readable. The European Commission launched the DPP Registry in 2026. Economic operators must register each passport through a web interface or an API, and the first deadline applies to certain large batteries on 18 February 2027. Construction products, toys, textiles, furniture and ICT products are among the groups the registry will support. Feeding that API from a folder of spreadsheets will be a long project.

Where Product Data Breaks The Marketing Plan

The 2025 B2B Buyer Report from Sana Commerce surveyed 750 professional buyers. Of those, 85% reported frustrations that led to abandoned purchases, and 36% said they struggle to find products online. Also, 92% research a supplier's sustainability credentials before committing, and 43% would switch suppliers if that information were unclear or missing. Sana sells B2B commerce software and has a stake in the topic, so read the exact percentages with that in mind.

The pattern behind such numbers is familiar. The ERP holds article numbers, prices, stock, and short texts written for warehouse labels. Engineering keeps specifications in spreadsheets or a PLM system. Marketing keeps descriptions and images in a CMS or on a shared drive. Distributor templates get filled by hand, each in its own layout. When a product gets a new approval, someone updates six places, and one of them usually gets missed.

Our customers turn to us with a version of this story. Product data sits in the ERP, a pile of Excel files and the memory of two senior product managers. Every new distributor means another template filled by hand, and every launch waits for data sheets. In those projects, the fix started with one attribute model per product classification. ERP and engineering data arrive through scheduled imports, marketing enriches the same records, and export feeds render the data into each distributor's format. A changed value reaches every channel on the next export run. Nobody re-keys it.

Variants, Classifications And Standards In Practice

Variant modeling is the decision with the longest consequences. A few rules hold up across product types.

Choose variant axes from the buyer's filter. For the cable gland, thread size, material, color, and seal type are the axes. Dimensions and weight follow from those axes, so they are variant attributes and should not become axes themselves.

Decide what each level carries. Series-level content belongs on the parent record: the application description, images, installation manual, and certificates that cover the whole series. Article number, EAN, exact dimensions, weight, and article-specific approvals belong on the variant. Allow overrides where one variant deviates, for example, a stainless steel version with an extra food-contact certificate.

Let classification drive attribute sets. When a product joins the class "cable gland", it should receive the cable gland attributes automatically. Map each internal class to its ETIM or ECLASS class once, inside the classification, and every export picks up the mapping.

Use controlled value lists and fixed units for anything a buyer filters by. Keep free text for descriptions.

Measure completeness per channel. A distributor may require ETIM features your website never shows, and your data sheet may need drawings the distributor ignores. One completeness score for the whole product hides both gaps.

Model products the way buyers filter them. Then map that model to the way your ERP stores articles.

In projects we implemented for manufacturers with large product series, the starting point was usually one of two extremes. Either every article was a standalone record, so a changed description meant editing hundreds of products, or variants had been squeezed into a structure designed for T-shirt sizes. The model that worked was a series parent with inherited content, variants holding only what differs, and variant-specific attributes flagged in the PIM. That flag lets each export rebuild the grouping its channel expects. A marketplace wants one listing with selectable options. A distributor import wants flat articles that share a series ID.

Tie Launch Dates To Completeness Gates

Positioning, launches, and sales enablement still belong to product marketing. In a catalog with variants, each of them depends on data that has to exist before the launch date.

Positioning comes first. A claim such as "higher ingress protection than the predecessor" works only if the IP rating sits in a typed attribute on both products. Then a buyer can filter for it, a distributor can import it, and sales can show it in a comparison table. A claim with no attribute behind it stays in the brochure.

Launch plans often track the product release and the campaign, and the data milestones show up late, usually when a distributor asks for its ETIM file. Plan the launch backwards from the channel with the longest lead time. Distributors import data on their own schedules, so ask each key distributor for its import cycle and set the feed date well before the public launch date.

Completeness gates make that plan enforceable. A gate is a rule in the PIM that a product has to pass before it moves to the next status or channel. A new series can pass four gates. The engineering gate checks classification and technical attributes with units on every variant. The content gate checks descriptions and images in every target language. The channel gate checks what each partner requires, for example, the ETIM features in a distributor feed. The release gate publishes to the website and the feeds on the launch date, and it sets successor links if the series replaces an older one. When a gate fails, the PIM lists the missing attributes per variant, and the launch meeting gets a concrete list to argue about.

Sales enablement in technical B2B is mostly derived data: comparison tables, cross-reference lists against competitor articles, accessory lists, and data sheets. Generate them from the same records the gates check. Sales then has them on launch day without a separate production run, and they match what the website and the distributors show.

What A PIM System Does In B2B Product Marketing

A PIM system sits between the systems that create product data and the channels that publish it. ERP and PLM deliver article master data and technical values. The PIM adds what marketing and channels need: classifications, descriptions in several languages, images and documents, product relations and channel-specific selections. Exports and APIs then feed the website, distributor files, print catalogs and data sheets.

For product marketing teams, the useful functions are concrete. Role-based editing lets engineering own technical values while marketing owns texts. Data quality rules block a product from export until required attributes are filled. Built-in or connected DAM keeps the right drawing on the right article. Template-based exports turn one record into a BMEcat file with ETIM features, a marketplace feed, a print page, and a data sheet.

A PIM has limits, and they are worth stating early. Prices and stock stay in the ERP. Customer-specific conditions belong in the ERP or the commerce platform. Rule-based configuration of made-to-order products belongs in a CPQ tool or configurator, and leads stay in the CRM. PIM projects that try to absorb these jobs tend to grow slowly.

AI assistants add one more consumer of product data. A buyer who asks for a stainless M20 cable gland rated IP68 gets an answer assembled from data the assistant can read. A PIM with an open API puts that data in one reachable place, and some vendors now ship dedicated interfaces for AI agents.

How The PIM Solutions In This Comparison Were Chosen

The PIM market has dozens of vendors. This comparison includes four that meet these criteria:

• The data model handles large technical attribute sets and variants with inheritance. That rules out tools built mainly for simple ecommerce catalogs.
• ETIM support exists as a vendor module, a partner extension, or a documented implementation pattern, so standard classifications are a configuration task and not a custom project.
• Features and licensing terms are public, so the statements below can be checked.
• Together, the four cover the main procurement paths: open source with self-hosting, open core with a revenue threshold, mid-market SaaS and enterprise SaaS.

Some well-known products are left out on purpose. Salsify concentrates on brand-to-retailer syndication and digital shelf analytics, which suits consumer goods brands more than manufacturers selling through technical wholesale. Enterprise multidomain MDM platforms such as Stibo Systems STEP usually exceed the scope and budget of a product marketing decision. Lightweight SaaS PIMs aimed at online shops are quick to start with and often reach their limits with deep attribute sets and standard classifications.

Four PIM Solutions For B2B Product Marketing

The vendors appear in alphabetical order.

Akeneo

Akeneo is one of the most widely adopted PIM systems, with a large partner network and an app store. Development now centers on the SaaS Akeneo Product Cloud, which adds modules for DAM, supplier data onboarding, channel activation, and analytics around the PIM. Commercial editions are priced on request.

Variants follow a fixed pattern. Akeneo's documentation on products with variants describes family variants with one or two variant levels and up to ten variant axes in total. That fits series where options combine cleanly, such as size and material. Catalogs with deeper hierarchies, such as series, model, design, and article, need workarounds like splitting families or using associations. ETIM structures can be loaded with the Calago ETIM app from the Akeneo App Store, which creates ETIM classes as families and ETIM features as attributes.

The self-hosted path has narrowed. Support for the on-premise and PaaS version 7 ended on 30 September 2026, according to Akeneo's support dates page. The same page says the open-source Community Edition continues to receive releases.

Akeneo fits teams that want a mature SaaS product with a business-friendly interface and many ready-made connectors. The trade-offs are the fixed variant depth and a self-hosted option that gets less attention than the cloud product.

AtroPIM

AtroPIM is an open-source PIM published under GPLv3 and available as SaaS in the cloud or for self-hosting. The Open-Source Edition comes without license fees, and the SaaS editions include hosting and support.

Administrators configure the data model in the user interface, including entities, fields, attributes, and relations, without writing code. The vendor states that the AtroPIM REST API covers all functionality, including custom configurations. Classifications assign attribute sets to products automatically, and AtroPIM works with ETIM, ECLASS, GS1 and BMEcat. A paid ETIM module creates everything a selected ETIM class needs, from attributes and units to list options and synonyms. Variants are parent and child products with configurable inheritance of field values and relations. Attribute values can be flagged as variant-specific, so export feeds can build grouped listings for channels that need them. Digital asset management is built in

AtroPIM fits manufacturers and distributors with non-standard data models or a requirement to host their data themselves.

Inriver

Inriver is a Swedish PIM vendor focused on enterprise manufacturers and brands. The platform runs as multi-tenant SaaS on Microsoft Azure. Its configurable entity model suits relationship-heavy catalogs with components, accessories, spare parts, and kits. Syndication and digital shelf analytics come from the same vendor. ETIM support is available through a partner extension from Ctac, which also includes a BMEcat export connector.

Inriver has moved early on interfaces for AI tools. Its Summer 2026 release extends the Inriver MCP Server, first released in September 2025, so partners can build custom applications on top of it. The release also adds a conversational assistant for enrichment and automated publishing that regenerates data sheets from InDesign templates when product data changes.

Inriver fits enterprises with many markets and large catalogs. Teams with strict on-premise hosting requirements should clarify deployment options early, and smaller manufacturers may find the enterprise focus larger than they need.

Pimcore

Pimcore is an open-core platform that combines PIM, MDM, DAM, and digital experience management. Product data lives in data objects defined by class definitions, which administrators build in a visual editor. The Pimcore documentation on data objects lists inheritance from parent to child objects, variants as lightweight children of a parent product, and a classification store for category-specific attributes that leaves the class definition unchanged. Pimcore partners have used the classification store to hold ETIM classes and features.

Licensing changed in 2025. Since version 2025.1, the Community Edition uses the Pimcore Open Core License (POCL) instead of GPLv3. It is free for organizations with annual revenue under €5 million, and offering Pimcore as SaaS requires a commercial OEM license. Mid-size manufacturers usually exceed that threshold and need a Professional or Enterprise license.

Pimcore fits companies that want product data and web content in one platform and have developers or an implementation partner. Data modeling is very flexible. Integrations and custom logic in real projects usually involve PHP and Symfony development, and that flexibility costs project time.

Comparison At A Glance

Other Software In The B2B Product Marketing Stack

A PIM rarely works alone. These systems share the work:

• ERP: article master data, prices, stock, and customer-specific conditions. The PIM reads from it and leaves pricing logic there.
• PLM and CAD systems: the engineering source of technical values and drawings. Some attributes can flow from PLM into the PIM without manual entry.
• DAM: images, drawings, videos, and certificates. Many PIMs include basic DAM, and a separate DAM makes sense when brand teams manage large media libraries across products and campaigns.
• CPQ and product configurators: rule-based compatibility and quoting for products built to order. The PIM supplies attributes and options, and the CPQ holds the rules.
• B2B commerce platforms and customer portals: ordering, reorders, customer-specific assortments and prices.
• Print and catalog automation: InDesign connectors such as EasyCatalog, or vendor publishing modules, generate catalogs and data sheets from PIM data.
• Validation tools for data exchange: ETIM International provides validation for its exchange format and a BMEcat certification tool, which is cheaper than finding errors after a distributor rejects your file.
• CRM and marketing automation: campaigns and leads. Product content enters as links or attributes pulled from the PIM.

Where To Start Without A Year-Long Project

Pick the product family that causes the most distributor complaints or support calls. Collect what at least two demanding channels require from it, for example, a distributor's ETIM template and your own website filters. Draft the attribute model and variant axes with engineering and marketing in the same table, and settle ownership before anyone touches software. Engineering owns technical values, marketing owns texts and images, product management owns classification, and sales operations owns channel assignments.

Then test PIM candidates with that family.

Ask every vendor to demo your messiest product family. A sample catalog of T-shirts proves very little about cable glands.

Connect the ERP import first, so article numbers and master data never get typed twice. Define completeness rules per channel and go live with one export. Track two numbers from the start: time from article creation to publication, and manual corrections requested by distributors. If you sell in the EU and your product group falls under a delegated act for the Digital Product Passport, add the required fields to the model as soon as the act is published.

The second product family goes faster, because the import and export already exist and much of the attribute model carries over.